Learn more about MentorPRO’s mission and evidence-based training programs here.
High-quality matches are the foundation of any successful mentoring relationship. However, many programs still rely on surface-level similarities—like shared interests or career goals—when pairing mentors and mentees. A recent post by Dr. Jean Rhodes, “Brokering” is One of The Most Valuable Things You Can Do In 2025,” challenges this assumption and emphasizes the importance of deeper, relationship-based factors like shared values, mentor empathy, and cultural responsiveness.
Drawing from decades of mentoring research, Rhodes argues that mentor matching must move beyond demographics and hobbies to consider the mentor’s relational capacity and the mentee’s specific needs. Mentoring software that integrates these insights can significantly improve match outcomes and relationship longevity.
At MentorPRO, our mentor matching software is built around this evidence. Our customizable matching algorithms incorporate relational indicators, and our MentorPRO Academy offers training modules on empathy, cultural humility, and building trust—key qualities for match success. These features ensure our mentoring platform helps program leaders design matches that are not only compatible, but transformative.
Matching is more than logistics—it’s about fostering connection. By embedding research-based best practices into every aspect of our platform, MentorPRO ensures mentoring programs are equipped to create enduring, impactful relationships.
Keep reading.

How to Measure ROI on a Mentoring Program
If your mentoring program is grant-funded, reporting is not an afterthought. It is how you keep the funding.
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How Much Does Mentoring Software Cost?
Most mentoring software falls somewhere between roughly $6,000 and $40,000 per year, depending on how many people you are supporting, how many programs you run, and whether training…
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New study sets a higher bar for AI-powered mentoring support
A new study accepted for publication in Translational Issues in Psychological Science (Hersch et al., in press). raises questions about how AI should be used to support mentoring relationships.
Read moreSee MentorPRO built around your program.
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